Recent advances in artificial intelligence, machine and deep learning (AI-MDL) have been explored to improve the performance of wireless physical layer such as channel estimation, symbol recovery, link adaptation, localization, etc. [1]}, [2]}, [3]}, [4]}, [5]}, [6]}, [7]}, [8]}, [9]}. Various studies have shown that data-driven AI-MDL approaches have potential to significantly improve the performance and offer increased robustness towards imperfections, non-linearity, and dynamic nature of the wireless environment and radio front-end [10]}, [11]}, [12]}, [13]}, [14]}. In the June 2021 3GPP workshop, various industry leaders presented the framework for the evolution of intelligent and reconfigurable wireless physical layer (PHY), emphasizing the commercial potential of the AI-MDL based academic research in the wireless domain. Though intelligent and reconfigurable PHY may take a few years to get accepted commercially, some of these initiatives are expected to be included in the upcoming 3GPP Rel-18.
